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Hepatocellular carcinoma (HCC) is the most common type of liver cancer and is a global health concern with increasing rates. Traditional diagnostic methods have proven to be fallible, often failing to detect HCC until it reaches advanced stages. Artificial intelligence (AI) technology, such as deep learning (DL) and neural networks, has shown promising advances in revolutionizing HCC diagnosis. AI models have the capability to analyze vast volumes of imaging data with unparalleled precision, identifying subtle patterns that often elude human observation. AI can also be used to predict patient outcomes following surgery and holds potential in personalized medicine and monitoring treatment responses.